A citation-based method for searching scientific literature

Peter Bankhead. J Pathol 2022
Times Cited: 5







List of co-cited articles
articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors.
Ashray Gunjur, Andrea J Manrique-Rincón, Oliver Klein, Andreas Behren, Trevor D Lawley, Sarah J Welsh, David J Adams. J Pathol 2022
1
100

An overview of mutational and copy number signatures in human cancer.
Christopher D Steele, Nischalan Pillay, Ludmil B Alexandrov. J Pathol 2022
1
100



Leveraging single-cell sequencing to unravel intratumour heterogeneity and tumour evolution in human cancers.
Amy L Bowes, Maxime Tarabichi, Nischalan Pillay, Peter Van Loo. J Pathol 2022
2
50

Lineage tracing in human tissues.
Calum Gabbutt, Nicholas A Wright, Ann-Marie Baker, Darryl Shibata, Trevor A Graham. J Pathol 2022
1
100

The state of the art for artificial intelligence in lung digital pathology.
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, Sanjay Mukhopadhyay, Anant Madabhushi. J Pathol 2022
3
33

Artificial intelligence to identify genetic alterations in conventional histopathology.
Didem Cifci, Sebastian Foersch, Jakob Nikolas Kather. J Pathol 2022
7
20

Cancer-associated fibroblasts in pancreatic cancer: new subtypes, new markers, new targets.
Shinelle Menezes, Mohamed Hazem Okail, Siti Munira Abd Jalil, Hemant M Kocher, Angus J M Cameron. J Pathol 2022
6
20

High-throughput whole-slide scanning to enable large-scale data repository building.
Mark D Zarella, Keysabelis Rivera Alvarez. J Pathol 2022
1
100

Field cancerization in breast cancer.
Emanuela Gadaleta, Graeme J Thorn, Helen Ross-Adams, Louise J Jones, Claude Chelala. J Pathol 2022
1
100

Reconstructing the epidermal proteolytic cascades in health and disease.
Georgia Sotiropoulou, Eleni Zingkou, Georgios Pampalakis. J Pathol 2022
3
33


Deep neural network models for computational histopathology: A survey.
Chetan L Srinidhi, Ozan Ciga, Anne L Martel. Med Image Anal 2021
89
20

What does research reproducibility mean?
Steven N Goodman, Daniele Fanelli, John P A Ioannidis. Sci Transl Med 2016
363
20


SLIC superpixels compared to state-of-the-art superpixel methods.
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, Sabine Süsstrunk. IEEE Trans Pattern Anal Mach Intell 2012
804
20

Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study.
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, Markus Tiemann, Dieter Krahl, Heinz Kutzner, Jochen Sven Utikal,[...]. J Med Internet Res 2021
11
20


Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak. Med Image Anal 2019
107
20

Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients.
Omar Del Tejo Catala, Ismael Salvador Igual, Francisco Javier Perez-Benito, David Millan Escriva, Vicent Ortiz Castello, Rafael Llobet, Juan-Carlos Perez-Cortes. IEEE Access 2021
3
33

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation.
Sebastian Bach, Alexander Binder, Grégoire Montavon, Frederick Klauschen, Klaus-Robert Müller, Wojciech Samek. PLoS One 2015
350
20

Explainable AI: A Review of Machine Learning Interpretability Methods.
Pantelis Linardatos, Vasilis Papastefanopoulos, Sotiris Kotsiantis. Entropy (Basel) 2020
100
20

Determining breast cancer biomarker status and associated morphological features using deep learning.
Paul Gamble, Ronnachai Jaroensri, Hongwu Wang, Fraser Tan, Melissa Moran, Trissia Brown, Isabelle Flament-Auvigne, Emad A Rakha, Michael Toss, David J Dabbs,[...]. Commun Med (Lond) 2021
9
20

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder. Sci Rep 2020
37
20

Why most published research findings are false.
John P A Ioannidis. PLoS Med 2005
20

AI in medicine must be explainable.
Shinjini Kundu. Nat Med 2021
30
20

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer.
Simon M Thomas, James G Lefevre, Glenn Baxter, Nicholas A Hamilton. Med Image Anal 2021
28
20

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.
Young-Gon Kim, Sungchul Kim, Cristina Eunbee Cho, In Hye Song, Hee Jin Lee, Soomin Ahn, So Yeon Park, Gyungyub Gong, Namkug Kim. Sci Rep 2020
15
20

Deep Learning of Histopathological Features for the Prediction of Tumour Molecular Genetics.
Pierre Murchan, Cathal Ó'Brien, Shane O'Connell, Ciara S McNevin, Anne-Marie Baird, Orla Sheils, Pilib Ó Broin, Stephen P Finn. Diagnostics (Basel) 2021
6
20

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers.
Iam Palatnik de Sousa, Marley M B R Vellasco, Eduardo Costa da Silva. Sensors (Basel) 2021
5
20


Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.
Kaveri A Thakoor, Sharath C Koorathota, Donald C Hood, Paul Sajda. IEEE Trans Biomed Eng 2021
11
20

Transparency and reproducibility in artificial intelligence.
Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny, Farnoosh Khodakarami, Levi Waldron, Bo Wang, Chris McIntosh, Anna Goldenberg, Anshul Kundaje, Casey S Greene,[...]. Nature 2020
70
20

Similar image search for histopathology: SMILY.
Narayan Hegde, Jason D Hipp, Yun Liu, Michael Emmert-Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J Cai, Mahul B Amin, Craig H Mermel,[...]. NPJ Digit Med 2019
36
20

Concept attribution: Explaining CNN decisions to physicians.
Graziani M, Andrearczyk V, Marchand-Maillet S, Müller H. Comput Biol Med 2020
14
20

Unmasking Clever Hans predictors and assessing what machines really learn.
Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller. Nat Commun 2019
120
20

Feasibility of the TBDx automated digital microscopy system for the diagnosis of pulmonary tuberculosis.
Pamela Nabeta, Joshua Havumaki, Dang Thi Minh Ha, Tatiana Caceres, Pham Thu Hang, Jimena Collantes, Nguyen Thi Ngoc Lan, Eduardo Gotuzzo, Claudia M Denkinger. PLoS One 2017
4
25



Machine-assisted interpretation of auramine stains substantially increases through-put and sensitivity of microscopic tuberculosis diagnosis.
L Horvath, S Hänselmann, H Mannsperger, S Degenhardt, K Last, S Zimmermann, I Burckhardt. Tuberculosis (Edinb) 2020
4
25

Automatic microscopic detection of mycobacteria in sputum: a proof-of-concept.
D Zingue, P Weber, F Soltani, D Raoult, M Drancourt. Sci Rep 2018
10
20

Novel TB smear microscopy automation system in detecting acid-fast bacilli for tuberculosis - A multi-center double blind study.
Hsiao-Chuan Huang, King-Lung Kuo, Mei-Hsin Lo, Hsiao-Yun Chou, Yusen E Lin. Tuberculosis (Edinb) 2022
1
100

Performance of a Novel Algorithm Using Automated Digital Microscopy for Diagnosing Tuberculosis.
Nazir A Ismail, Shaheed V Omar, James J Lewis, David W Dowdy, Andries W Dreyer, Hermina van der Meulen, George Nconjana, David A Clark, Gavin J Churchyard. Am J Respir Crit Care Med 2015
16
20

The automated clinical microbiology laboratory: fact or fantasy?
Nathan A Ledeboer, Steven D Dallas. J Clin Microbiol 2014
24
20

Automated high-throughput digital fluorescence microscopy for TB diagnosis.
D Chesov, V Lesanu, N Ciobanu, A Codreanu, V Crudu, L E Cuevas, D Kiss, N Czoboly, A Somoskovi. Int J Tuberc Lung Dis 2020
1
100

Low cost automated whole smear microscopy screening system for detection of acid fast bacilli.
Yan Nei Law, Hanbin Jian, Norman W S Lo, Margaret Ip, Mia Mei Yuk Chan, Kai Man Kam, Xiaohua Wu. PLoS One 2018
7
20

Recommendations for neoadjuvant pathologic staging (ypTNM) of cancer of the esophagus and esophagogastric junction for the 8th edition AJCC/UICC staging manuals.
Thomas W Rice, Hemant Ishwaran, David P Kelsen, Wayne L Hofstetter, Carolyn Apperson-Hansen, Eugene H Blackstone. Dis Esophagus 2016
53
20



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.